Zaiwei Chen

According to our database, Zaiwei Chen authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation.

Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

Oper. Res., 2024

Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games.

Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman

CoRR, 2024

Approximate Global Convergence of Independent Learning in Multi-Agent Systems.

Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman

CoRR, 2024

2023

Target Network and Truncation Overcome the Deadly Triad in \(\boldsymbol{Q}\)-Learning.

Zaiwei Chen, John-Paul Clarke, Siva Theja Maguluri

SIAM J. Math. Data Sci., December, 2023

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning.

Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman

Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games.

Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman

CoRR, 2023

Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise.

Zaiwei Chen, Siva Theja Maguluri, Martin Zubeldia

CoRR, 2023

Convergence rates for localized actor-critic in networked Markov potential games.

Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman

Proceedings of the Uncertainty in Artificial Intelligence, 2023

A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games.

Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Unified Lyapunov Framework for Finite-Sample Analysis of Reinforcement Learning Algorithms.

Zaiwei Chen

SIGMETRICS Perform. Evaluation Rev., December, 2022

Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization.

Zaiwei Chen, Shancong Mou, Siva Theja Maguluri

Proc. ACM Meas. Anal. Comput. Syst., 2022

Finite-Sample Analysis of Off-Policy Natural Actor-Critic With Linear Function Approximation.

Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri

IEEE Control. Syst. Lett., 2022

Target Network and Truncation Overcome The Deadly triad in Q-Learning.

Zaiwei Chen, John-Paul Clarke, Siva Theja Maguluri

CoRR, 2022

Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.

Zaiwei Chen, Sheng Zhang, Thinh T. Doan, John-Paul Clarke, Siva Theja Maguluri

Autom., 2022

Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation.

Zaiwei Chen, Siva Theja Maguluri

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Nested Vehicle Routing Problem: Optimizing Drone-Truck Surveillance Operations.

Fanruiqi Zeng, Zaiwei Chen, John-Paul Clarke, David Goldsman

CoRR, 2021

A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants.

Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

CoRR, 2021

Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators.

Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm.

Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes.

Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

CoRR, 2020

Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes.

Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Finite-Time Analysis of Q-Learning with Linear Function Approximation.

Zaiwei Chen, Sheng Zhang, Thinh T. Doan, Siva Theja Maguluri, John-Paul Clarke

CoRR, 2019